Free PDF Quiz SASInstitute - Professional A00-215 - SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Valid Mock Test
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SASInstitute A00-215 Certification Exam is ideal for individuals who are new to the field of data analytics and want to learn about programming fundamentals using SAS 9.4. SAS Certified Associate: Programming Fundamentals Using SAS 9.4 certification can help individuals gain the necessary skills and knowledge to work with SAS software and start a career in data analytics. Additionally, the certification can also help individuals demonstrate their proficiency in SAS programming fundamentals to potential employers.
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SASInstitute SAS Certified Associate: Programming Fundamentals Using SAS 9.4 Sample Questions (Q227-Q232):
NEW QUESTION # 227
Which of the following SAS code snippets will result in a syntax error? Select all that apply.
Answer: B,C
Explanation:
Option B is incorrect as SAS does not support assigning a value to an expression. Option E is incorrect as the age variable is numeric, but the assignment is a character string. All other options are valid SAS syntax. Option A creates a new variable and assigns 10 if the age is greater than 10. Option C assigns the age value plus 10 to the age variable if the age is greater than 10. Option D is a valid SAS syntax with a conditional assignment.
NEW QUESTION # 228
You are analyzing customer data in a SAS data set named 'CUSTOMER DATA'. You need to create a new data set called 'ACTIVE CUSTOMERS that contains only customers who have made a purchase in the last 12 months. The 'CUSTOMER DATA' dataset has the following variables: CUSTOMER D, LAST PURCHASE DATE. Which DATA step code snippet correctly accomplishes this task?
Answer: A
Explanation:
The correct code snippet is option D It uses the INTNX function to calculate the date 12 months prior to today's date (TODAY()). The IF statement then filters the data to include only records where the LAST_PURCHASE DATE is greater than or equal to the date calculated by INTNX- Option A is incorrect because it subtracts only one year, not 12 months. Option B is incorrect because it uses a strict greater than comparison, which will exclude customers who made purchases exactly 12 months ago. Option C is incorrect because it calculates the date one year prior to today's date, not 12 months Option E is incorrect because it uses a strict greater than comparison, which will exclude customers who made purchases exactly 12 months ago.
NEW QUESTION # 229
You have a dataset named 'SALES' containing sales records for different products. You need to sort the dataset by 'PRODUCT ID' in ascending order and then by 'SALES DATE' in descending order. Which PROC SORT statement achieves this?
Answer: E
Explanation:
Option C is the correct answer. The BY statement specifies the variables to sort by, and the order is important. 'PRODUCT_ICY is sorted first in ascending order, followed by 'SALES_DATE' in descending order. The DESCENDING keyword explicitly specifies the descending order for 'SALES_DATE'. Options A and B have incorrect order of sorting, while option D sorts by 'SALES_DATE' first and then 'PRODUCT ID'. option E uses nested BY statements, which is not the intended way to sort by multiple variables.
NEW QUESTION # 230
You have two datasets, 'SALES' and 'CUSTOMER', both containing a common variable 'CUST ID'. You need to create a new dataset 'SALES WITH CUSTOMER INFO that includes all sales records from 'SALES' and corresponding customer information from 'CUSTOMER' based on 'CUST ID'. Which of the following MERGE statements will achieve this, assuming both datasets are sorted by 'CUST ID'?
Answer: A
Explanation:
The correct answer is A The MERGE statement with the BY clause will automatically match observations based on the common variable 'CUST_ID', creating a new dataset with combined information from both datasets. Options B, C, D, and E use conditional statements that are unnecessary and would not accurately merge the datasets. Option B would only output observations from the 'SALES' dataset Option C would output only observations where both datasets have matching 'CUST ID'. Option D would only output the first observation of each dataset, and Option E would only output observations that occur after the first observation in each dataset. The MERGE statement in option A is the most straightforward and efficient way to merge the datasets horizontally.
NEW QUESTION # 231
You are analyzing a SAS dataset named 'CUSTOMER' with a variable 'SALES' of type numeric. You want to identify the rows where 'SALES' is missing and has a value of '999999' using a data step. Which code snippet correctly achieves this?
Answer: E
Explanation:
The correct answer is A SAS uses a single period (-) to represent missing values for numeric variables- The code snippet correctly checks for both missing values and the specific value '999999' using the 'or' operator. Option B is incorrect because 'missing()' function only checks for missing values and doesn't consider the specific value '999999' Option C is incorrect because it uses an incorrect comparison operator for missing values. Option D and E are incorrect because they use incorrect comparison operators for numeric variables. In SAS, the correct operator for comparing numeric variables is '=' or 'eq'. This scenario demonstrates the importance of understanding how SAS handles missing values and how to properly identify them using code.
NEW QUESTION # 232
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